Video Object Tracking.
Following the previous arts, we train the models on the train splits of four datasets GOT10k [1]}, TrackingNet [2]}, LaSOT [3]}, and COCO [4]} and report the success score (SUC) for the TrackingNet dataset and LaSOT dataset. For the GOT10k test set, we report the average overlap as the evaluation metric. The GOT10k and the TrackingNet are two short-term large-scale benchmarks, the GOT10K test set contains 180 video sequences, and the TrackingNet test set contains 511 video sequences. The LaSOT is a long-term tracking benchmark and has 280 video sequences with an average length of about 2500 frames.
